{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 基于 Python 条形图的绘制\n",
    "条形图常用来显示各个项目之间的比较情况。\n",
    "\n",
    "使用条形图的情况：\n",
    "\n",
    "1. 轴标签过长；\n",
    "\n",
    "2. 显示的数值是持续型的。\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 绘制简单的垂直条形图"
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-03-17T11:17:22.216937Z",
     "start_time": "2025-03-17T11:17:21.765270Z"
    }
   },
   "source": [
    "# 使图片正常显示\n",
    "%matplotlib inline\n",
    "# 导入绘图模块 \n",
    "import matplotlib.pyplot as plt \n",
    "\n",
    "# GDP 测试数据\n",
    "GDP_test = [12306.7, 14508.57, 9986.87, 9343.64] \n",
    " \n",
    "# 绘图 \n",
    "plt.bar(range(4), GDP_test, align='center', color='steelblue', alpha=0.8) \n",
    "# 添加轴标签 \n",
    "plt.ylabel('GDP') \n",
    "# 添加标题 \n",
    "plt.title('GDP of the Cities') \n",
    "# 添加刻度标签 \n",
    "plt.xticks(range(4), ['Beijing', 'Shanghai', 'Tianjing', 'Chongqing']) \n",
    "# 设置Y轴的刻度范围 \n",
    "plt.ylim([5000, 16000]) \n",
    " \n",
    "# 为每个条形图添加数值标签 \n",
    "for x, y in enumerate(GDP_test): \n",
    "    # text函数的参数：横坐标，纵坐标，放置的文本，其他格式控制\n",
    "    plt.text(x, y + 100, '%s' % round(y, 1), ha='center')  \n",
    " \n",
    "plt.show()"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 1
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 绘制水平条形图"
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-03-17T11:17:22.292456Z",
     "start_time": "2025-03-17T11:17:22.223942Z"
    }
   },
   "source": [
    "# 导入绘图模块 \n",
    "import matplotlib.pyplot as plt \n",
    " \n",
    "# 构建数据 \n",
    "price = [38.5, 39.4, 45.4, 38.9, 33.58] \n",
    " \n",
    "# 绘图 \n",
    "plt.barh(range(5), price, align='center', color='steelblue', alpha=0.8) \n",
    "# 添加轴标签 \n",
    "plt.xlabel('price') \n",
    "# 添加标题 \n",
    "plt.title('Books at different prices') \n",
    "# 添加刻度标签 \n",
    "plt.yticks(range(5), ['Amazon', 'Dangdang', 'China Books Network', 'Jingdong', 'Tianmao']) \n",
    "# 设置Y轴的刻度范围 \n",
    "plt.xlim([31, 47]) \n",
    " \n",
    "# 为每个条形图添加数值标签 \n",
    "for x, y in enumerate(price): \n",
    "    # text函数的参数：横坐标，纵坐标，放置的文本，其他格式控制\n",
    "    plt.text(y + 0.1, x, '%s' % y, va='center') \n",
    " \n",
    "# 显示图形     \n",
    "plt.show() "
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 2
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 绘制水平交错条形图"
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-03-17T11:17:22.448691Z",
     "start_time": "2025-03-17T11:17:22.355363Z"
    }
   },
   "source": [
    "# 导入绘图模块 \n",
    "import matplotlib.pyplot as plt \n",
    "import numpy as np \n",
    " \n",
    "Y2019 = [15600, 12700, 11300, 4270, 3620] \n",
    "Y2020 = [16900, 13600, 12000, 4900, 4120] \n",
    "labels = ['Beijing', 'Shanghai', 'Hong Kong', 'Shenzhen', 'Guangzhou'] \n",
    "bar_width = 0.45 \n",
    " \n",
    "# 绘图 \n",
    "plt.bar(np.arange(5), Y2019, label='2019', color='steelblue', alpha=0.8, width=bar_width) \n",
    "plt.bar(np.arange(5) + bar_width, Y2020, label='2020', color='indianred', alpha=0.8, width=bar_width) \n",
    "# 添加轴标签 \n",
    "plt.xlabel('Top5 City') \n",
    "plt.ylabel('Number of households') \n",
    "# 添加标题 \n",
    "plt.title('Billionaires Top5 Cities') \n",
    "# 添加刻度标签 \n",
    "plt.xticks(np.arange(5) + bar_width, labels) \n",
    "# 设置Y轴的刻度范围 \n",
    "plt.ylim([2500, 19000]) \n",
    " \n",
    "# 为每个条形图添加数值标签 \n",
    "for x2019, y2019 in enumerate(Y2019): \n",
    "    plt.text(x2019, y2019 + 100, '%s' % y2019, ha='center') \n",
    " \n",
    "for x2020, y2020 in enumerate(Y2020):\n",
    "    # text函数的参数：横坐标，纵坐标，放置的文本，其他格式控制\n",
    "    plt.text(x2020 + bar_width, y2020 + 100, '%s' % y2020, ha='center') \n",
    "# 显示图例 \n",
    "plt.legend() \n",
    "\n",
    "# 显示图形 \n",
    "plt.show() "
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 3
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 绘制垂直堆叠条形图"
   ]
  },
  {
   "cell_type": "code",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-03-17T11:17:22.714715Z",
     "start_time": "2025-03-17T11:17:22.454699Z"
    }
   },
   "source": [
    "# 导入模块 \n",
    "import matplotlib.pyplot as plt \n",
    "import numpy as np \n",
    "import pandas as pd \n",
    " \n",
    "# 导入数据 \n",
    "traffic_volume = {'Index': ['Railway', 'Highway', 'Water Transport', 'Air Transport'], \n",
    "                  'Jan': [32047, 245803, 51244, 56], \n",
    "                  'Feb': [28121, 169276, 46582, 41], \n",
    "                  'Mar': [32184, 275436, 51688, 58], \n",
    "                  'Api': [30136, 308566, 54828, 56], \n",
    "                  'May': [30307, 318723, 54813, 59], \n",
    "                  'Jun': [29933, 319018, 59154, 57], \n",
    "                  'Jul': [31001, 320109, 57342, 54], \n",
    "                  'Aug': [31589, 330977, 57572, 56]} \n",
    " \n",
    "data = pd.DataFrame(traffic_volume)\n",
    "# 显示数据结构与部分数据\n",
    "print(data.info())\n",
    "print(data)"
   ],
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4 entries, 0 to 3\n",
      "Data columns (total 9 columns):\n",
      " #   Column  Non-Null Count  Dtype \n",
      "---  ------  --------------  ----- \n",
      " 0   Index   4 non-null      object\n",
      " 1   Jan     4 non-null      int64 \n",
      " 2   Feb     4 non-null      int64 \n",
      " 3   Mar     4 non-null      int64 \n",
      " 4   Api     4 non-null      int64 \n",
      " 5   May     4 non-null      int64 \n",
      " 6   Jun     4 non-null      int64 \n",
      " 7   Jul     4 non-null      int64 \n",
      " 8   Aug     4 non-null      int64 \n",
      "dtypes: int64(8), object(1)\n",
      "memory usage: 420.0+ bytes\n",
      "None\n",
      "             Index     Jan     Feb     Mar     Api     May     Jun     Jul  \\\n",
      "0          Railway   32047   28121   32184   30136   30307   29933   31001   \n",
      "1          Highway  245803  169276  275436  308566  318723  319018  320109   \n",
      "2  Water Transport   51244   46582   51688   54828   54813   59154   57342   \n",
      "3    Air Transport      56      41      58      56      59      57      54   \n",
      "\n",
      "      Aug  \n",
      "0   31589  \n",
      "1  330977  \n",
      "2   57572  \n",
      "3      56  \n"
     ]
    }
   ],
   "execution_count": 4
  },
  {
   "cell_type": "code",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-03-17T11:17:22.889851Z",
     "start_time": "2025-03-17T11:17:22.726340Z"
    }
   },
   "source": [
    "# 绘图\n",
    "# 使用参数：x坐标，y坐标，红颜色，0.8透明度，标签，居中排列\n",
    "plt.bar(np.arange(8), data.loc[0][1:], color='red', alpha=0.8, label='railway', align='center')\n",
    "\n",
    "# 使用参数：x坐标，y坐标，绿颜色，0.8透明度，标签，居中排列\n",
    "plt.bar(np.arange(8), data.loc[1][1:], bottom=data.loc[0][1:], color='green', alpha=0.8,label='highway',align='center') \n",
    "\n",
    "# 使用参数：x坐标，y坐标，黄颜色，0.8透明度，标签，居中排列\n",
    "plt.bar(np.arange(8), data.loc[2][1:], bottom=data.loc[0][1:] + data.loc[1][1:], color='m', alpha=0.8,label='water transport',align='center') \n",
    "\n",
    "# 添加轴标签 \n",
    "plt.xlabel('month') \n",
    "plt.ylabel('Cargo volume (10,000 tons)') \n",
    "# 添加标题 \n",
    "plt.title('Monthly logistics volume in 2019') \n",
    "# 添加刻度标签 \n",
    "plt.xticks(np.arange(8), data.columns[1:]) \n",
    "# 设置Y轴的刻度范围 \n",
    "plt.ylim([0, 500000]) \n",
    " \n",
    "# 为每个条形图添加数值标签 \n",
    "for x_t, y_t in enumerate(data.loc[0][1:]):\n",
    "    # text函数的参数：横坐标，纵坐标，放置的文本，其他格式控制\n",
    "    # 此处为了显示方便，放置于纵坐标/2的位置\n",
    "    plt.text(x_t, y_t / 2, '%sW' % (round(y_t / 10000, 2)), ha='center', color='white', fontsize=8) \n",
    " \n",
    "for x_g, y_g in enumerate(data.loc[0][1:] + data.loc[1][1:]): \n",
    "    # text函数的参数：横坐标，纵坐标，放置的文本，其他格式控制\n",
    "    # 此处为了显示方便，放置于纵坐标/2的位置\n",
    "    plt.text(x_g, y_g / 2, '%sW' % (round(y_g / 10000, 2)), ha='center', color='white', fontsize=8) \n",
    " \n",
    "for x_s, y_s in enumerate(data.loc[0][1:] + data.loc[1][1:] + data.loc[2][1:]):\n",
    "    # text函数的参数：横坐标，纵坐标，放置的文本，其他格式控制\n",
    "    # 此处为了显示方便，放置于纵坐标-20000的位置\n",
    "    plt.text(x_s, y_s - 20000, '%sW' % (round(y_s / 10000, 2)), ha='center', color='white', fontsize=8) \n",
    " \n",
    "# 显示图例 \n",
    "plt.legend(loc='upper center', ncol=4) \n",
    " \n",
    "# 显示图形 \n",
    "plt.show() "
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 5
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "基于Python的条形图的绘制到此就结束了。"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
